77 lines
1.4 KiB
Plaintext
77 lines
1.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"using Plots, DataFrames, OnlineStats\n",
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"gadfly(); default(size=(500,300))\n",
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"df = readtable(joinpath(Pkg.dir(\"Plots\"), \"examples\", \"meetup\", \"winequality-white.csv\"), separator=';');"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"y = float(df[:quality] .> 6)\n",
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"x = Array(df[:,1:11]);"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"ProxGrad(η = 1.0)"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# logistic regression\n",
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"reg = OnlineStats.ProxGrad()\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Julia 0.4.0",
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"language": "julia",
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"name": "julia-0.4"
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},
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"language_info": {
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"file_extension": ".jl",
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"mimetype": "application/julia",
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"name": "julia",
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"version": "0.4.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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